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Adaptive load-balancing algorithms using symmetric broadcast networks: performance study on an IBM SP2

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3 Author(s)
S. K. Das ; Dept. of Comput. Sci., North Texas Univ., Denton, TX, USA ; D. J. Harvey ; R. Biswas

In a distributed-computing environment, it is important to ensure that the processor work loads are adequately balanced. Among numerous load-balancing algorithms, a unique approach due to Das and Prasad defines a symmetric broadcast network (SBN) that provides a robust communication pattern among the processors in a topology-independent manner. In this paper, we propose and analyze three SBN-based load-balancing algorithms, and implement them on an SP2. A thorough experimental study with Poisson-distributed synthetic loads demonstrates that these algorithms are very effective in balancing system load while minimizing processor idle time. They also compare favorably with several existing techniques

Published in:

Parallel Processing, 1997., Proceedings of the 1997 International Conference on

Date of Conference:

11-15 Aug 1997